This paper presents a novel design of a time–frequency (t–f) matched filter as a solution to
the problem of detecting a non-stationary signal in the presence of additive noise, for …

A review of time-frequency analysis and some aspects of its applications in digital
watermarking are presented. The main advantages and drawbacks of various time …

Speech-based speaker identification system is one of the alternatives to the conventional
biometric contact-based identification systems. Recent works demonstrate the growing …

This article presents a general methodology for processing non-stationary signals for the
purpose of classification and localization. The methodology combines methods adapted …

Audio signals are information rich nonstationary signals that play an important role in our
day-to-day communication, perception of environment, and entertainment. Due to its non …

A watermarking approach based on multidimensional time-frequency analysis is proposed.
It represents a unified concept that can be used for different types of data such as audio …

This paper presents an improved signal reconstruction method based on a new inverse
short-time Fourier transform (ISTFT) estimator. The main challenge addressed in this study is …

Due to development of latest technologies in the areas of communication and networking,
the present businesses are moving to the digital world for effectiveness, convenience and …

In the light of popular compressive sensing concept, this paper proposes a single-iteration
reconstruction algorithm for recovering sparse signals from its incomplete set of …

The eigenvalues decomposition based on the S-method is employed to extract the specific
time-frequency characteristics of speech signals. This approach is used to create a flexible …